Two mini courses of 5 hours each will be delivered by Rüdiger Kiesel (Universität Duisburg-Essen), Bernt Øksendal (University of Oslo). Special invited lectures will be given by Hansjoerg Albrecher (Université de Lausanne), Gilles Pagès (Université de Paris VI), and Johan Tysk (Uppsala Universitet).

February

Workshop on Bayesian Inference for Latent Gaussian Models with Applications

February 2-5, 2011

University of Zurich, Switzerland

Latent Gaussian models have numerous applications, for example in spatial and spatio-temporal epidemiology and climate modelling. This workshop brings together researchers who develop and apply Bayesian inference in this broad model class. One methodological focus is on model computation, using either classical MCMC techniques or more recent deterministic approaches such as integrated nested Laplace approximations (INLA). A second theme of the workshop is model uncertainty, ranging from model criticism to model selection and model averaging.

Spatial statistics is a rapidly developing field which involves the quantitative analysis of spatial data and the statistical modelling of spatial variability and uncertainty. Applications of spatial statistics are for a broad range of environmental disciplines such as agriculture, geology, soil science, hydrology, ecology, oceanography, forestry, meteorology and climatology, but also for socio-economic disciplines such as human geography, spatial econometrics, epidemiology and spatial planning. The aim of the meeting is to present interdisciplinary research where applicability in other disciplines is a central core concept.

The meeting's purpose is to to bring together statisticians from all over New England at a central location. There will be two full day short courses, and several arranged special theme sessions. In addition, there will be contributed paper sessions, allowing 15 to 20 minutes per paper. We invite talks on all aspects of statistics and probability.

Conference objectives are: Provide graduate students and postdoctoral fellows with the opportunity to speak on an area of interest within probability; Foster discussions with a friendly and informal atmosphere; Establish connections for potential future collaborations; Introduction to recent developments in probability from keynote speakers

May

This is the fourth of a series of Symposia on theoretical statistics with emphasis on optimality. The Symposium consists of a series of plenary lectures and invited sessions. Contributed papers are also welcome. The series started to honor Erich Lehmann's work and impact on the discipline. Those interested in presenting in a contributed session can email a title and an abstract to jrojo@rice.edu There will be partial travel support for young investigators and advanced graduate students. A volume of refereed papers will be published.

This week long workshop will provide an introduction to the field of epidemiology to students and faculty from the mathematical and statistical sciences. The overall goal of the workshop is to illustrate to need for and power of quantitative methods to confront the very hardest and most important data- and model-driven scientific challenges.

The main scientific theme of the symposium is mathematical statistics, in particular survival analysis, nonparametric methods, and probability and stochastic processes. The goal is to disseminate recent developments, to build bridges between the sub-field, and to allow for stimulating interaction between the theoretical developments and some areas of application. The scientific meeting will be followed by a session in honor of the contributions made by Professor Noel Veraverbeke. The meeting will bring together the top researchers in the aforementioned areas, from all over the globe.

The principal aim of Chaos2011 International Conference is to expand the development of the theories of the applied nonlinear field, the methods, empirical data and computer techniques as well as the best theoretical achievements of chaotic theory.

June

The annual SRCoS Summer Research Conference is designed to bring together statistical researchers at all levels to learn about current areas of investigation and trends in statistics, including statistics education

This interdisciplinary workshop is intended to be a forum for (i) the dissemination of cutting-edge biotechnological and methodological developments and (ii) the identification of challenging data analysis problems. The focus is on statistical, mathematical, and computational aspects addressing concrete real-world biological questions and medical applications.

The conference aims to provide a platform for discussion and exchange of ideas for a variety of people. These include, for example, statisticians, researchers and other experts of universities, national statistical institutes, research institutes and other governmental bodies, and private enterprises, dealing with survey research methodology, empirical research and statistics production. University students in statistics and related disciplines provide an important interest group of the conference.

The conference will feature invited lectures on probability, mathematical and applied statistics, statistical genetics, and computational biology. It is held in honor of the 70th birthday of Professor David Siegmund, who has made seminal contributions and left far-ranging impacts on these fields.

The utilization of computer models for complex real-world processes requires addressing Uncertainty Quantification (UQ). Corresponding issues range from inaccuracies in the models to uncertainty in the parameters or intrinsic stochastic features. This Summer school will expose students in the mathematical and statistical sciences to common challenges in developing, evaluating and using complex computer models of processes. It is essential that the next generation of researchers be trained on these fundamental issues too often absent of traditional curricula.

ICSA applied statistics symposium was first held in San Francisco in . Since then, it has successfully attracted statisticians all around the world, to exchange and explore new scientific research and application techniques. In 2011, it reaches its 20th Anniversary. The organizing committee cordially welcomes you to join us to celebrate the 20th Anniversary of this exciting and rich symposium organized by the ICSA.

The aim of this conference is to be a forum for the developments and applications of robust statistical methods, and their interactions to other fields of statistics, and to science in general. It is an opportunity to meet, exchange knowledge, and build scientific contacts for all people interested in the subject.

In keeping with the long tradition of previous conferences, this convention is dedicated to all areas of mathematical and statistical sciences. In addition to traditional theoretical/applied areas, interdisciplinary research would be encouraged and promoted. Historically these meetings have concentrated in the following areas of scholarship: applied and theoretical statistics, Bayesian statistics, bioinformatics, biostatistics, combinatorics, computer and information sciences, design and analysis of experiments , ergodic theory, functional analysis, graph theory, multivariate analysis, number theory, partial differential equations and topology.

This workshop will focus on developments at the interface between statistical methodology and bioinformatics and more generally in interdisciplinary statistics. This is the 30th anniversary of the workshop, and to commemorate this, there will be a special session on shape analysis in memory of David Kendall on the second day of the workshop.

Objective is to expose graduate students in mathematics, engineering, and statistics to challenging and exciting real-world problems arising in industrial and government laboratory research. Students get experience in the team approach to problem solving.

The congress will highlight the most recent advances in the discipline and demonstrate their applicability to science, engineering and industry. In addition to the traditional, strong focus on applied mathematics, the congress will emphasize industrial applications and computational science in new and emerging topic areas identified by panels of top international scientists.

Focusing on the analysis of complex traits characterized by quantitative variation, this five-day course will offer an interactive program to enhance researchers' ability to understand & use statistical genetic methods, as well as implement & interpret sophisticated genetic analyses. Travel fellowships available, see website for details!

The main objective of this conference is to provide a forum for researchers, educators, students and industries to exchange ideas, to communicate and discuss research findings and new advances in mathematics and statistics. To explore possible avenues to foster academic and student exchange, as well as scientific activities within the region. The conference will be a venue to communicate and discuss on mathematical and statistical problems faced by the industries. The topics of the conference include Mathematics, Applications of Mathematics, Statistics, Operations Research, Mathematical Education, and Computer Sciences.

Carlos Castillo-Chavez and Fred Brauer will give ten keynote lectures, and there will be breakout sessions and formation of working research groups. A poster session will also be held for participants to display their work. Full support will be offered to between 35 and 40 participants.

August

The conference honours one of the leading researchers in applied probability, Søren Asmussen, on the occasion of his 65th birthday. Thirtyfive major contributors to applied probability have agreed to participate in the conference. The talks will present the state of the art in applied probability and cover Søren Asmussen's wide-ranging scientific interests.

A conference centred on the use of R for data analysis and statistical computing. The conference schedule comprises invited lectures and user-contributed sessions. In addition half-day tutorials presented by R experts will run on August 15, 2011, prior to the conference.

As a satellite meeting to the 2011 ISI World Congress, and the first of its kind, YSI 2011 seeks to promote the active participation of early career statisticians in the epicentre of the ISI World Congress. The meeting will give the opportunity for young statisticians to present their work in an encouraging and heartening environment, build scientific bonds with colleagues in their respective fields, and learn from and interact with some of the leaders of the discipline in an informal, compact and conducive environment.

The main goal of the conference is to promote research and applications of multiple comparison procedures. The application areas of multiple comparison procedures are a rich and important source of cross-disciplinary statistical research. The conference will cover many current topics such as adaptive and sequential designs, Bayesian methods, bioinformatics, clinical trials, genomics, closed testing and partitioning principles, false discovery rate, multiple endpoints and so on. An important role of the conference will be to provide a forum for technical interactions among research and practicing statisticians in academia, government, and industry.

The workshop will focus on five complementary themes at the forefront of current research in climate modeling. (1) Observations, (2) Climate models, (3) Assimilation/calibration/forward UQ, (4) Multiscale inference and (5) Risk, decisions and impacts

September

This workshop is part of a year-long Warwick Symposium on Probability and aims to consider significant recent developments in the mathematical study of disordered media, including random polymer models, random walks in random environment, interlacement percolation, and randomly growing surfaces, and its connections to other areas of probability and mathematics such as random matrices, concentration inequalities and stochastic PDEs.

The European Young Statisticians Meetings are conferences organized every two years under the auspices of the European Regional Committee of the Bernoulli Society. The aim is to provide a scientific forum for the next generation of European researchers in probability theory and statistics. The meeting will gather about 46 participants coming from about 23 European countries. Participants are less than 30 years old or have 2 to 8 years of research experience. They are chosen by invitation only in a uniformly distributed way in Europe (2 participants per country).

Through each session of the two day event, a diversity of emerging concerns and challenges that national statistical offices (NSOs) and other data producers have been facing recently from a quickly-changing survey environment will be fully explored

DNA sequencing instruments have undergone an extraordinary increase in efficiency during the past few years that has reduced the time and cost required to sequence billions of bases by several orders of magnitude. This is revolutionizing the scale and potential applications of genomic studies, and creating an enormous need to develop mathematical and computational infrastructures to meet emerging data analysis challenges. This long program aims to foster interactions between mathematical and computational scientists, sequencing technology developers in industry and academia, and the biologists who use the instruments for particular research applications to advance the mathematical foundations of this exciting field.

The meeting features a summer school and a workshop in the fields of Statistics, Probability and Operations Research, introducing relevant topics and some of the most recent advances and prospective challenges in these fields with special emphasis on applications.

This is a meeting of statisticians and quantitative analysts connected with sports teams, sports media, and universities to discuss common problems of interest in statistical modeling and analysis of sports data

The aim of this conference is to bring together people from a wide range of industry, research and academic backgrounds to share and discuss recent developments in the field of chemometrics. Chemometrics is the discipline concerned with the extraction of information from analytical chemical data. It has numerous successful applications in extremely wide range industries, for example in chemical and pharmaceutical research and production.

Next-generation sequencing technology is impacting almost all aspects of biomedical research. This technology generates an unprecedented wealth of data that demands novel analysis strategies. While IT infrastructure and bioinformatics developments are obviously required to enable sound information extraction, sophisticated statistical methodologies and algorithms are also essential for interpreting the data. In this regard, we are organizing a NHGRI funded two-day conference, calling statisticians, genetic epidemiologists, bioinformaticians, and genome biologists, to discuss the statistical challenges and opportunities in next-generation sequencing data analysis. We believe that this conference will provide a venue for exchanging of cutting-edge information and ideas, and fostering collaborations among methodologists, analysts, and biomedical investigators.

The main goals of this joint event are to facilitate the exchange of recent research developments in Statistical methodology and theoretical developments (Bayesian for COBAL - Miscellaneous for JNE), to establish new collaborations and partnerships among attendants, and finally, to provide opportunities for students and researchers to share ideas and discuss Statistical methods.

Recent advances in live cell microscopy have resulted in a flood of time-lapse observations that reveal a high degree of motility inside cells. Quantitative analysis of these movements is necessary to gain a full understanding of intracellular dynamics and their regulation. This analysis is often hampered by the sheer complexity of the movements, the great number of objects to be tracked, and the diffraction limit of optical microscopes. At the same time, mathematical and statistical models have made significant progress in producing fast algorithms that reliably track multiple objects in space. In some cases, these models were successfully applied to cell biological data sets, but the full potential of a rigorous mathematical approach that can be employed across a wide range of biological processes has not been realized. This NIMBioS Workshop will bring together experts from cell biology as well as mathematics, statistics, computational science and physics to discuss current approaches and possible alternatives.

The conference will engage an interdisciplinary group of scientists including biostatisticians,computational biologists, clinicians, genetic epidemiologists, and molecular biologists in a discussion centered on three important topics: Quantitative issues in personalized medicine; Reproducibility and validation of genomic signatures in translational medicine; Genetic risk prediction.

Objectives: Enhance awareness about the application of latest tools and techniques available for research and analysis; Interact with leading authorities, practitionners and scholars of the field; Augment and share the expertise and exposure of national and international participants; Develop a close relationship with scholars and practitioner.

December

There will be two parallel half-day tutorial sessions based on recently published books for the first three days for a total of 12 tutorial sessions. Then the conference will continue with two 2-day short courses.

We are inviting statisticians, genetic epidemiologists, bioinformaticians, and genome biologists to discuss the statistical challenges and opportunities in next-generation sequencing data analysis. We believe that this conference will provide a venue for exchanging of cutting-edge information and ideas, and fostering collaborations among methodologists, analysts, and biomedical investigators.

The conference will feature research topics inspired by the substantial contributions of Professor Balakrishnan to Statistics, in areas such as distribution theory, reliability and lifetime data analysis, censoring methodology, ordered data analysis, etc. It aims to bring together researchers interested in theory as well as applications of probability and statistics to discuss recent developments and to suggest future research directions.